By p3nj
Skill for building and packaging custom MCP servers as Claude Desktop Extension bundles (.mcpb). Guides you through scaffolding, manifest.json spec 0.3, mcpb CLI, and team distribution.
A collection of skills for Claude Code, packaged as plugins.
| Plugin | Description |
|---|---|
| datadog-log-analyst | Analyse Datadog logs for Prismatic integrations with streaming accumulator for million-log datasets |
| mcp-connector-builder | Build and package custom MCP servers as Claude Desktop Extension bundles (.mcpb) |
plugins/
<plugin-name>/
.claude-plugin/
plugin.json # Plugin metadata
skills/
<skill-name>/
SKILL.md # Skill definition
scripts/ # Supporting scripts (optional)
Each plugin can be installed directly into Claude Code from this repository.
Based on adoption, maintenance, documentation, and repository signals. Not a security audit or endorsement.
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Sign in to claimAnalyse Datadog logs for Prismatic integrations with streaming accumulator for million-log datasets. Includes skills for fetching, analysing (SAP, AMT, Maximo, generic), and reporting to chat, Slack, Notion, or DOCX. Requires the Datadog Connector extension for MCP access.
npx claudepluginhub p3nj/p3nj-market --plugin mcp-connector-builderSkills for designing and building MCP servers that work seamlessly with Claude — guides you through deployment models (remote HTTP, MCPB, local), tool design patterns, auth, and interactive MCP apps.
Comprehensive toolkit for developing Claude Code plugins. Includes 10 expert skills covering hooks, MCP integration, LSP servers, commands, agents, marketplaces, and best practices, plus a guide skill for navigation. AI-assisted plugin creation and validation.
This command provides the context necessary for Claude Code to create the Desktop Extension or .dxt file of an MCP.
This command provides the context necessary for Claude Code to create the Desktop Extension or .dxt file of an MCP.
MCP server management and integration tools
Build FastMCP 3.x Python MCP servers — covers provider/transform architecture (including CodeMode, Tool Search, and server-level transforms), component versioning, session state, authorization (MultiAuth, PropelAuth, connection-pooled token verifiers), evaluation creation, Pydantic validation, async patterns, STDIO and HTTP transports, nginx reverse proxy deployment, background tasks, Prefab Apps UI, security patterns, client SDK usage, testing, deployment, and migration from FastMCP v2. TypeScript is a legacy reference only and is not updated for v3.